Article | January 20, 2021
When you work with data, the most prominent challenge is picking the right manner to represent data in a readable format. With proper visualization, it becomes easier to convey the message present in the analyzed data. The best choice, in this case, is to use Data Visualization.
By definition, data visualization is the graphical representation of the data and information. Using elements like maps, charts, graphs, etc. gives an easier view to understanding the patterns, trends, outliers, and performance.
Combination Chart or C3 is based on D3 and provides reusable chart libraries for applications. C3 offers a class to each element to help in defining a custom style that can later extend structure from D3. One of the major benefits of using C3js is that you can even update the rendered chart.
Similar to C3, ReCharts also uses D3 while expressing declarative components. Being lightweight and rendering on SVG elements, it helps in creating stunning charts. The library consists of some beautiful chart examples. Moreover, the charts here can also be customized according to needs. It is great for static charts but can lag with multiple animations. With an intuitive API, it becomes highly powerful and responsive.
Based on SVG JS library charts, Highcharts is quite popular among large organizations. Highcharts comes with the entire ecosystem for various project templates. It is even compatible with old browsers. Even the non-developers can use it with ease because of its interactive chart editor. It is being used by popular brands like Microsoft.
Article | August 12, 2020
For organizations that are considering or already leveraging Sitecore to host their digital experience, they’ll be excited to learn that Sitecore announced the release of Sitecore ® Experience Platform ™ 10, (XP 10 for short), plus Sitecore Experience Commerce™ 10 (XC 10).
Article | February 12, 2020
The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.
Article | March 1, 2020
NVIDIA is helping the transportation industry by giving it access to its deep neural networks (DNNs) for autonomous vehicles. NVIDIA is providing access to its AI (artificial intelligence) model and introducing advanced training tools. This helps the company to strengthen its end-to-end platform for autonomous vehicle development and, eventually, deployment. Automakers and other companies that develop autonomous vehicles (AVs) on the NVIDIA GPU Cloud container registry will get access. NVIDIA DRIVE is pretty much the standard for the development of autonomous vehicles. It is used by automakers, truck manufacturers, and robotaxi companies along with related software companies and universities.